To be honest: What stands out to me is that most systems are not built for partial truth. They are built for over-disclosure.
I did not think much about that at first. I assumed verification was simple: either show the record or do not make the claim. But that only sounds workable until real institutions, real customers, and now AI agents start operating inside the same environment. Then the problem becomes obvious. They constantly need to prove something specific while keeping everything around it private.
A company may need to prove it passed a compliance check without exposing internal documents. A user may need to prove eligibility without handing over an entire identity profile. An AI agent may need to act on verified data without publishing the raw inputs it used. Public blockchains are good at shared visibility. They are less comfortable with boundaries.
That is why most existing approaches feel temporary. Either the data stays with a trusted middle layer, which brings back the old dependence, or the proof requires too much exposure, which makes normal adoption harder than people admit.
@MidnightNetwork makes more sense when you stop treating it like a crypto product and start treating it like a coordination layer for sensitive facts.
The likely users are not speculators. They are businesses, applications, and automated systems that need verifiable actions without total disclosure. It could work if that balance holds. It probably fails if trust in the proof is weaker than trust in the old gatekeepers.
